Your growth shouldn’t be held back by catalog chaos.
Do you see these problems?
Manual product data entry from supplier sources (PDFs, emails, catalogs) that slows updates and creates errors
Naming chaos, mixed units, and duplicates (the “same product, three names” problem) that fragment your assortment
Offer gaps: products published with missing content or delayed by expensive, slow translation work
Outdated, withdrawn, or inactive items still in the catalog, hurting search and trust
Too many abandoned carts and low order values
An overload of repetitive technical questions draining your team’s time
What you get when AI supports your operations
- A big cut in manual tasks
- Higher conversion and more digital sales
- Improved predictability for planning and execution
- Faster after-sales service and fewer escalations
- Improved database hygiene and consistency
- Ready-to-use, rich product content that makes your brand look more professional
How do we automate and power the digital life of your product with AI?
Products don’t just appear on the market – they move through a full lifecycle. And too often, progress is slowed by manual data updates, difficult product matching, and errors in order fulfillment. We help you manage that lifecycle digitally, end to end: from the moment a product comes off the production line, through sales, to the last day it is available.
We see AI and automation as tools that streamline transitions and improve speed across the process.
Product introduction to the offer
AI helps your team:
1) extract product parameters from supplier documentation (PDFs, catalogs, technical sheets) and structure them into an organized, import-ready attribute model,
2) categorize products,
3) propose a full set of attributes for a product series using similar products and source materials,
4) flag missing publication minimums (photos, EAN, dimensions, certificates) in line with your company’s standards.
Value: faster onboarding of new products to sales channels and significantly less manual retyping.
Data management and enrichment
AI helps your team:
1) detect outdated compliance certificates and route them for validation,
2) convert units and align data formats for all target markets,
3) identify duplicates, anomalies, and structural inconsistencies (e.g., variants lacking shared product-family attributes),
4) generate contextual, market-specific translations while preserving industry terminology and intent,
5) design data rules and standards (for example, how to name colors, how to write units, and what information must always be included),
6) describe product variant differences in a way that is clear to people and practical for distribution channels.
Value: smoother data maintenance and fewer inconsistencies across teams.
Offer presentation and brand positioning
AI helps your team:
1) generate titles and descriptions in different lengths and styles (short, technical, sales) from raw attributes,
2) personalize content for customer groups and industries (different messages for OEM, different for wholesale),
3) maintain compliance with brand vocabulary and terminology rules (consistent naming and banned phrases).
Value: a consistent brand image and a better-converting offer.
Pre-sales support
AI helps your team:
1) generate ready-to-use content for sales reps, including offer descriptions, value propositions, objection responses, and short product summaries,
2) answer sales questions using approved sources (instructions, technical documentation, catalogs), effectively serving as a structured sales knowledge base.
Value: salespeople respond faster, make better-informed decisions, and use consistent knowledge that is not trapped in inboxes or PDF files.
Sales and transaction
AI helps your team:
1) align product data with channel-specific requirements (formats, mandatory fields, and content policies),
2) track listing quality and spot issues (e.g., missing variant photos, inconsistent titles),
3) increase product discoverability through optimized titles, customer-relevant synonyms, intuitive filter labels, and improved category descriptions.
Value: fewer abandoned carts and fewer complaints related to unclear offers.
Fulfillment and logistics
AI helps your team:
1) generate precise and easy-to-follow picking and packing instructions from product specs,
2) create proactive messages for customers during peak times (explaining order progress, status checks, and the meaning of each processing stage).
Value: fewer exceptions and a lighter support workload when it matters most.
After-sales support and knowledge
AI helps your team:
1) build and maintain a knowledge base from existing documentation (FAQ, manuals, guides),
2) analyze emails and complaints to detect repeated issues with a specific product batch,
3) classify service tickets, assign priority levels, and route them to the appropriate specialist (e.g., technical or logistics),
4) suggest replacement products,
5) prepare response drafts for customers that follow internal rules and procedures.
Value: faster service, fewer escalations, and a stronger experience for both customers and service teams.
Product end-of-life and archiving
AI helps your team:
1) label product status changes (EOL, successor, substitutes) and sync them with all channels,
2) monitor documentation compliance (archive of product sheets, certificates, and versions),
3) analyze demand decline and recommend the best moment to transfer stock to outlet sales.
Value: improved risk control, better catalog governance, and fewer legacy data points that can misinform customers.
How to use AI
AI features for manufacturers
PIM, e-commerce, ERP, and CMS are essential building blocks of a modern enterprise. But to work efficiently, they need a smart layer that unifies them and improves their interactions.
That is the role AI plays in our solutions. It connects offline and online operations, removes repetitive work, and elevates your data to a higher standard.
Semantic product search
A smarter search experience that matches products to user intent, even when the query does not include exact product names or codes.
Automated data extraction
AI processes supplier documents and identifies key attributes.
Then, it converts the content into structured data compatible with PIM platforms such as Pimcore.
Email order processing
Email orders often include multiple products, but do not use the seller’s reference numbers.
AI models check each item in the order and assign the correct SKU.
Why Tandemite?
We want you to finish the implementation and think, “They took care of everything.” Together, we grow the digital potential of your product and make sure we:
Build an edge that fits your business
We do not use generic solutions. We design AI around your business structure, workflows, and data environment – step by step.
Keep communication clear
We translate technical complexity into simple business language, so you understand what changes, why it matters, and what results it brings.
Meet your project tandem
Who will you work with?
We always match the solution to your company structure and actual needs. We do not implement AI features just to follow a trend.
Tymoteusz Bartnik
Engineering Manager
Transformation is a multi-stage process, but it does not have to involve unclear expectations or complicated communication. We stay close to the process, answer questions, and take responsibility for the final delivery.
Dariusz Łyga
Project Manager
You can begin with a short diagnosis to identify where chaos is created today, what is blocking digital sales, and which automations are most likely to deliver fast results.
Kamil Pomykała
Lead Backend Developer
How do we work?
A simple and effective process
We analyze your current setup and map key needs
We design the target ecosystem and integrations, ensuring an error-free flow of logistics, pricing, and product details between your warehouse operations and sales frontend
We implement AI-driven features and automations
We monitor data quality and operational efficiency in day-to-day operations
We extend automations as your assortment grows and new channels go live
